GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-24T12:26:09Z,
for the dataset file:///shared/dnqm-wta_a0a40286.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Wilkes Transportation Authority

Feed Info

Publisher Name:
ITRE
Publisher URL:
https://itre.ncsu.edu/
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2023-01-01
Feed End Date:
2029-12-31

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 1
  • Routes: 1
  • Shapes: 1
  • Stops: 25
  • Trips: 10

Specification Compliance report

913 notices reported (0 errors, 912 warnings, 1 infos)

Notice Code Severity Total
leading_or_trailing_whitespaces WARNING 909

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

Only the first 50 of 909 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"shapes.txt" 2 "shape_id" " 149655"
"shapes.txt" 3 "shape_id" " 149655"
"shapes.txt" 4 "shape_id" " 149655"
"shapes.txt" 5 "shape_id" " 149655"
"shapes.txt" 6 "shape_id" " 149655"
"shapes.txt" 7 "shape_id" " 149655"
"shapes.txt" 8 "shape_id" " 149655"
"shapes.txt" 9 "shape_id" " 149655"
"shapes.txt" 10 "shape_id" " 149655"
"shapes.txt" 11 "shape_id" " 149655"
"shapes.txt" 12 "shape_id" " 149655"
"shapes.txt" 13 "shape_id" " 149655"
"shapes.txt" 14 "shape_id" " 149655"
"shapes.txt" 15 "shape_id" " 149655"
"shapes.txt" 16 "shape_id" " 149655"
"shapes.txt" 17 "shape_id" " 149655"
"shapes.txt" 18 "shape_id" " 149655"
"shapes.txt" 19 "shape_id" " 149655"
"shapes.txt" 20 "shape_id" " 149655"
"shapes.txt" 21 "shape_id" " 149655"
"shapes.txt" 22 "shape_id" " 149655"
"shapes.txt" 23 "shape_id" " 149655"
"shapes.txt" 24 "shape_id" " 149655"
"shapes.txt" 25 "shape_id" " 149655"
"shapes.txt" 26 "shape_id" " 149655"
"shapes.txt" 27 "shape_id" " 149655"
"shapes.txt" 28 "shape_id" " 149655"
"shapes.txt" 29 "shape_id" " 149655"
"shapes.txt" 30 "shape_id" " 149655"
"shapes.txt" 31 "shape_id" " 149655"
"shapes.txt" 32 "shape_id" " 149655"
"shapes.txt" 33 "shape_id" " 149655"
"shapes.txt" 34 "shape_id" " 149655"
"shapes.txt" 35 "shape_id" " 149655"
"shapes.txt" 36 "shape_id" " 149655"
"shapes.txt" 37 "shape_id" " 149655"
"shapes.txt" 38 "shape_id" " 149655"
"shapes.txt" 39 "shape_id" " 149655"
"shapes.txt" 40 "shape_id" " 149655"
"shapes.txt" 41 "shape_id" " 149655"
"shapes.txt" 42 "shape_id" " 149655"
"shapes.txt" 43 "shape_id" " 149655"
"shapes.txt" 44 "shape_id" " 149655"
"shapes.txt" 45 "shape_id" " 149655"
"shapes.txt" 46 "shape_id" " 149655"
"shapes.txt" 47 "shape_id" " 149655"
"shapes.txt" 48 "shape_id" " 149655"
"shapes.txt" 49 "shape_id" " 149655"
"shapes.txt" 50 "shape_id" " 149655"
"shapes.txt" 51 "shape_id" " 149655"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 1

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"routes.txt" 2 "agency_id"
route_long_name_contains_short_name WARNING 1

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"50765" 2 "WE" "WE Shuttle"
unknown_column INFO 1

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"trips.txt" "block_name" 11